Search ga_ls7e_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2001-10-27 11:34:32	ga_ls7e_ard_3-0-0_114078_2001-10-27_final
2001-12-21 11:41:29	ga_ls7e_ard_3-0-0_115079_2001-12-21_final
2003-11-18 11:34:02	ga_ls7e_ard_3-0-0_114076_2003-11-18_final
2003-12-20 11:35:51	ga_ls7e_ard_3-0-0_114080_2003-12-20_final
2004-09-01 11:34:34	ga_ls7e_ard_3-0-0_114077_2004-09-01_final
2004-09-08 11:40:18	ga_ls7e_ard_3-0-0_115076_2004-09-08_final
2004-11-27 11:41:53	ga_ls7e_ard_3-0-0_115079_2004-11-27_final
2005-05-15 11:35:26	ga_ls7e_ard_3-0-0_114077_2005-05-15_final
2005-06-07 11:40:43	ga_ls7e_ard_3-0-0_115075_2005-06-07_final
2005-11-07 11:35:38	ga_ls7e_ard_3-0-0_114078_2005-11-07_final
2007-01-29 11:36:32	ga_ls7e_ard_3-0-0_114078_2007-01-29_final
2007-06-13 11:43:04	ga_ls7e_ard_3-0-0_115079_2007-06-13_final
2008-06-08 11:36:50	ga_ls7e_ard_3-0-0_114080_2008-06-08_final
2008-10-05 11:41:30	ga_ls7e_ard_3-0-0_115079_2008-10-05_final
2009-02-03 11:36:24	ga_ls7e_ard_3-0-0_114079_2009-02-03_final
2009-08-21 11:40:59	ga_ls7e_ard_3-0-0_115074_2009-08-21_final
2010-03-17 11:44:57	ga_ls7e_ard_3-0-0_115079_2010-03-17_final
2010-04-18 11:45:01	ga_ls7e_ard_3-0-0_115079_2010-04-18_final
2010-11-28 11:43:41	ga_ls7e_ard_3-0-0_115074_2010-11-28_final
2011-01-08 11:40:16	ga_ls7e_ard_3-0-0_114080_2011-01-08_final
2011-02-16 11:46:14	ga_ls7e_ard_3-0-0_115079_2011-02-16_final
2011-12-01 11:46:08	ga_ls7e_ard_3-0-0_115078_2011-12-01_final
2012-03-31 11:41:08	ga_ls7e_ard_3-0-0_114080_2012-03-31_final
2013-01-13 11:42:46	ga_ls7e_ard_3-0-0_114079_2013-01-13_final
2013-03-09 11:46:57	ga_ls7e_ard_3-0-0_115074_2013-03-09_final
2013-10-03 11:48:14	ga_ls7e_ard_3-0-0_115078_2013-10-03_final
2014-06-25 11:44:53	ga_ls7e_ard_3-0-0_114081_2014-06-25_final
2015-09-23 11:50:46	ga_ls7e_ard_3-0-0_115074_2015-09-23_final
2016-01-22 11:47:56	ga_ls7e_ard_3-0-0_114078_2016-01-22_final
2016-09-02 11:48:55	ga_ls7e_ard_3-0-0_114078_2016-09-02_final
2017-04-21 11:55:11	ga_ls7e_ard_3-0-0_115079_2017-04-21_final
2017-05-23 11:53:43	ga_ls7e_ard_3-0-0_115075_2017-05-23_final
2017-11-08 11:49:38	ga_ls7e_ard_3-0-0_114080_2017-11-08_final
2018-01-18 11:52:44	ga_ls7e_ard_3-0-0_115074_2018-01-18_final
2018-02-03 11:53:16	ga_ls7e_ard_3-0-0_115076_2018-02-03_final
2018-05-10 11:51:54	ga_ls7e_ard_3-0-0_115076_2018-05-10_final
2018-10-17 11:48:21	ga_ls7e_ard_3-0-0_115075_2018-10-17_final
2018-10-17 11:49:57	ga_ls7e_ard_3-0-0_115079_2018-10-17_final
2018-12-13 11:42:48	ga_ls7e_ard_3-0-0_114080_2018-12-13_final
2020-01-08 11:31:20	ga_ls7e_ard_3-1-0_115074_2020-01-08_final
2020-03-21 11:24:10	ga_ls7e_ard_3-1-0_114081_2020-03-21_final
2020-11-23 09:34:51	ga_ls7e_ard_3-1-0_099078_2020-11-23_final
2020-12-09 09:32:29	ga_ls7e_ard_3-1-0_099075_2020-12-09_final
2020-12-16 09:39:20	ga_ls7e_ard_3-1-0_100078_2020-12-16_final
2021-02-03 10:16:18	ga_ls7e_ard_3-2-0_107071_2021-02-03_final
2021-02-06 09:09:18	ga_ls7e_ard_3-2-0_096074_2021-02-05_final
2021-02-21 08:29:18	ga_ls7e_ard_3-2-0_089085_2021-02-20_final
2021-03-05 10:30:22	ga_ls7e_ard_3-2-0_109081_2021-03-05_final
2021-03-09 08:25:16	ga_ls7e_ard_3-2-0_089078_2021-03-08_final
2021-03-10 09:09:14	ga_ls7e_ard_3-2-0_096080_2021-03-09_final
2021-03-12 08:51:32	ga_ls7e_ard_3-2-0_094067_2021-03-11_final
2021-03-19 08:57:10	ga_ls7e_ard_3-2-0_095067_2021-03-18_final
2021-03-25 08:26:47	ga_ls7e_ard_3-2-0_089085_2021-03-24_final
2021-04-06 08:48:31	ga_ls7e_ard_3-2-0_093080_2021-04-05_final
2021-04-10 08:23:52	ga_ls7e_ard_3-2-0_089081_2021-04-09_final
2021-04-24 10:09:56	ga_ls7e_ard_3-2-0_107071_2021-04-24_final
2021-05-06 10:37:38	ga_ls7e_ard_3-2-0_111081_2021-05-06_final
2021-05-08 10:24:43	ga_ls7e_ard_3-2-0_109080_2021-05-08_final
2021-05-11 09:12:53	ga_ls7e_ard_3-2-0_098071_2021-05-10_final
2021-05-13 08:59:58	ga_ls7e_ard_3-2-0_096070_2021-05-12_final
2021-05-26 08:33:09	ga_ls7e_ard_3-2-0_091083_2021-05-25_final
2021-05-27 09:17:07	ga_ls7e_ard_3-2-0_098085_2021-05-26_final
2021-05-31 10:25:20	ga_ls7e_ard_3-2-0_110071_2021-05-31_final
2021-06-12 10:51:28	ga_ls7e_ard_3-2-0_114077_2021-06-12_final
2021-07-05 10:54:33	ga_ls7e_ard_3-2-0_115074_2021-07-05_final
2021-07-14 10:50:00	ga_ls7e_ard_3-2-0_114080_2021-07-14_final
2021-07-28 09:23:04	ga_ls7e_ard_3-2-0_100082_2021-07-27_final
2021-08-05 10:11:00	ga_ls7e_ard_3-2-0_108080_2021-08-05_final
2021-08-07 08:19:11	ga_ls7e_ard_3-2-0_090079_2021-08-06_final
2021-08-23 09:54:16	ga_ls7e_ard_3-2-0_106073_2021-08-23_final
2021-09-09 08:57:34	ga_ls7e_ard_3-2-0_097074_2021-09-08_final
2021-09-16 09:04:20	ga_ls7e_ard_3-2-0_098077_2021-09-15_final
2021-09-25 08:54:57	ga_ls7e_ard_3-2-0_097071_2021-09-24_final
2021-09-25 08:59:20	ga_ls7e_ard_3-2-0_097082_2021-09-24_final
2021-09-29 08:31:27	ga_ls7e_ard_3-2-0_093075_2021-09-28_final
2021-10-01 08:20:07	ga_ls7e_ard_3-2-0_091078_2021-09-30_final
2021-10-01 08:22:55	ga_ls7e_ard_3-2-0_091085_2021-09-30_final
2021-10-15 08:30:27	ga_ls7e_ard_3-2-0_093076_2021-10-14_final
2021-10-18 10:41:33	ga_ls7e_ard_3-2-0_114080_2021-10-18_final
2021-10-28 09:37:39	ga_ls7e_ard_3-2-0_104077_2021-10-28_final
2021-11-11 09:48:41	ga_ls7e_ard_3-2-0_106077_2021-11-11_final
2021-11-12 10:31:03	ga_ls7e_ard_3-2-1_113075_2021-11-12_final
2021-11-15 09:21:11	ga_ls7e_ard_3-2-1_102071_2021-11-14_final
2021-11-16 08:27:04	ga_ls7e_ard_3-2-1_093075_2021-11-15_final
2021-12-04 08:15:23	ga_ls7e_ard_3-2-1_091081_2021-12-03_final
2021-12-09 10:09:08	ga_ls7e_ard_3-2-1_110073_2021-12-09_final
2021-12-20 09:51:08	ga_ls7e_ard_3-2-1_107077_2021-12-20_final
2021-12-23 08:45:39	ga_ls7e_ard_3-2-1_096084_2021-12-22_final
2021-12-31 09:28:42	ga_ls7e_ard_3-2-1_104070_2021-12-30_final
2022-02-07 08:50:42	ga_ls7e_ard_3-2-1_098077_2022-02-06_final
2022-02-13 09:54:40	ga_ls7e_ard_3-2-1_108084_2022-02-13_final
2022-02-22 08:08:44	ga_ls7e_ard_3-2-1_091084_2022-02-21_final
2022-03-01 09:51:32	ga_ls7e_ard_3-2-1_108080_2022-03-01_final
2022-03-03 08:00:06	ga_ls7e_ard_3-2-1_090080_2022-03-02_final
2022-03-09 08:58:07	ga_ls7e_ard_3-2-1_100072_2022-03-08_final
2022-03-18 08:53:48	ga_ls7e_ard_3-2-1_099079_2022-03-17_final
2022-03-26 08:02:49	ga_ls7e_ard_3-2-1_091077_2022-03-25_final
2022-03-27 08:49:11	ga_ls7e_ard_3-2-1_098085_2022-03-26_final
2022-03-27 10:25:40	ga_ls7e_ard_3-2-1_114079_2022-03-27_final
2022-03-31 09:59:22	ga_ls7e_ard_3-2-1_110076_2022-03-31_final

Return to ga_ls7e_ard_3 whole collection overview

ga_ls7e_ard_3: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years